About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
In civilian labor force, female, percent of population age 16 years+, 2014-2018 - (Percent)
County
Value
Anderson
51.4
Bedford
56.7
Benton
42.7
Bledsoe
41.9
Blount
54.7
Bradley
53.8
Campbell
48.3
Cannon
50.2
Carroll
47.2
Carter
46.8
Cheatham
58.5
Chester
51.9
Claiborne
45.0
Clay
41.8
Cocke
50.8
Coffee
51.8
Crockett
50.5
Cumberland
41.3
Davidson
66.4
Decatur
45.8
DeKalb
46.5
Dickson
53.1
Dyer
54.2
Fayette
50.4
Fentress
44.0
Franklin
50.7
Gibson
50.6
Giles
49.6
Grainger
48.7
Greene
50.6
Grundy
42.3
Hamblen
52.1
Hamilton
56.8
Hancock
43.7
Hardeman
48.5
Hardin
44.7
Hawkins
47.6
Haywood
54.4
Henderson
51.2
Henry
46.6
Hickman
50.0
Houston
40.4
Humphreys
46.5
Jackson
44.9
Jefferson
52.2
Johnson
43.2
Knox
58.7
Lake
49.6
Lauderdale
50.0
Lawrence
46.4
Lewis
51.9
Lincoln
48.2
Loudon
46.3
Macon
51.3
Madison
54.9
Marion
48.8
Marshall
52.8
Maury
57.0
McMinn
48.4
McNairy
44.7
Meigs
44.4
Monroe
45.7
Montgomery
57.4
Moore
46.9
Morgan
46.6
Obion
51.4
Overton
48.7
Perry
44.7
Pickett
45.1
Polk
49.6
Putnam
53.5
Rhea
50.0
Roane
46.3
Robertson
59.4
Rutherford
65.4
Scott
50.0
Sequatchie
46.9
Sevier
58.9
Shelby
60.7
Smith
54.9
Stewart
48.5
Sullivan
49.2
Sumner
61.3
Tipton
55.8
Trousdale
58.5
Unicoi
45.1
Union
47.3
Van Buren
47.9
Warren
50.0
Washington
54.3
Wayne
48.9
Weakley
50.1
White
46.9
Williamson
59.5
Wilson
60.2
Value for Tennessee (Percent): 56.3%
Data item: In civilian labor force, female, percent of population age 16 years+, 2014-2018
Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.
Definition
Civilian Labor Force consists of people classified as employed or unemployed in accordance with the criteria described below.
Employed - This category includes all civilians 16 years old and over who either (1) were "at work," that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were "with a job but not at work," that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces. For the complete definition, go to ACS subject definitions "Employment Status."
Source and Accuracy
This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.
Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.
For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."
Margin of Error
As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:
Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.
